This report covers the survey about attitudes collected by Richard Childers, MD and Joel Schofer, MD.
Summary
Notes
- The current report covers 951 responses.
- We excluded 17 cases because their orders preceded the year 2012 and 26 cases because the
year_executed_order value was missing.
Unanswered Questions
Answered Questions
Histograms
Frequency: homestead_length_in_years by officer_rank

Frequency: homestead_length_in_years by specialty_type
Frequency: homestead_problem by officer_rank ———————————–

Frequency: homestead_problem by specialty_type

Multivariate

Relationships between Outcomes
| satisfaction_rank |
1.000 |
0.771 |
0.486 |
-0.519 |
| transparency_rank |
0.771 |
1.000 |
0.488 |
-0.405 |
| favoritism_rank |
0.486 |
0.488 |
1.000 |
-0.325 |
| assignment_current_choice |
-0.519 |
-0.405 |
-0.325 |
1.000 |


Analyses - 1 Predictor
By Rank
satisfaction_rank

Data:
ds Formula:
~ satisfaction_rank 1 + officer_rate_f
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.1361502
|
0.0903269
|
34.720017
|
0.00e+00
|
|
officer_rate_f4
|
0.4547589
|
0.1158670
|
3.924834
|
9.37e-05
|
|
officer_rate_f5
|
0.7953566
|
0.1268635
|
6.269388
|
0.00e+00
|
|
officer_rate_f6
|
0.9934794
|
0.1557247
|
6.379715
|
0.00e+00
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0619066
|
0.0586569
|
1.318277
|
19.04967
|
0
|
4
|
-1472.875
|
2955.751
|
2979.593
|
1504.982
|
866
|
transparency_rank

Data:
ds Formula:
~ transparency_rank 1 + officer_rate_f
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
2.9018692
|
0.0923961
|
31.406827
|
0e+00
|
|
officer_rate_f4
|
0.5921428
|
0.1183507
|
5.003290
|
7e-07
|
|
officer_rate_f5
|
0.8972176
|
0.1299199
|
6.905929
|
0e+00
|
|
officer_rate_f6
|
1.0425753
|
0.1595401
|
6.534880
|
0e+00
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0685919
|
0.0653839
|
1.351639
|
21.38109
|
0
|
4
|
-1503.22
|
3016.439
|
3040.31
|
1591.254
|
871
|
favoritism_rank

Data:
ds Formula:
~ favoritism_rank 1 + officer_rate_f
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.1216216
|
0.1092427
|
28.575103
|
0.0000000
|
|
officer_rate_f4
|
0.2028817
|
0.1333507
|
1.521415
|
0.1285723
|
|
officer_rate_f5
|
0.2581861
|
0.1429176
|
1.806538
|
0.0712303
|
|
officer_rate_f6
|
0.2974260
|
0.1695735
|
1.753965
|
0.0798401
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.005615
|
0.0016846
|
1.328995
|
1.428604
|
0.2331066
|
4
|
-1297.66
|
2605.319
|
2628.505
|
1340.567
|
759
|
assignment_current_choice

Data:
ds Formula:
~ assignment_current_choice 1 + officer_rate_f
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
1.8177083
|
0.0808428
|
22.484485
|
0.0000000
|
|
officer_rate_f4
|
-0.1670234
|
0.1040813
|
-1.604740
|
0.1089568
|
|
officer_rate_f5
|
-0.4257485
|
0.1133191
|
-3.757077
|
0.0001848
|
|
officer_rate_f6
|
-0.4136679
|
0.1386022
|
-2.984570
|
0.0029287
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0222757
|
0.0185056
|
1.120191
|
5.908457
|
0.0005478
|
4
|
-1196.361
|
2402.722
|
2426.031
|
976.2552
|
778
|
By Specialty Type
satisfaction_rank

Data:
[ ds ds$specialty_type != “unknown” Formula:
~ satisfaction_rank 1 + specialty_type
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.9172414
|
0.0625729
|
62.602823
|
0.0000000
|
|
specialty_typesurgical
|
-0.2326776
|
0.1238796
|
-1.878257
|
0.0606834
|
|
specialty_typefamily
|
-0.5635828
|
0.1195853
|
-4.712809
|
0.0000028
|
|
specialty_typeoperational
|
-1.2544507
|
0.1540125
|
-8.145121
|
0.0000000
|
|
specialty_typeresident
|
-0.4020899
|
0.2356418
|
-1.706360
|
0.0883012
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0811978
|
0.0769342
|
1.305062
|
19.04449
|
0
|
5
|
-1458.551
|
2929.103
|
2957.693
|
1468.146
|
862
|
transparency_rank

Data:
[ ds ds$specialty_type != “unknown” Formula:
~ transparency_rank 1 + specialty_type
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.7214612
|
0.0646380
|
57.5738850
|
0.0000000
|
|
specialty_typesurgical
|
-0.0888081
|
0.1289458
|
-0.6887244
|
0.4911810
|
|
specialty_typefamily
|
-0.4850976
|
0.1235676
|
-3.9257663
|
0.0000933
|
|
specialty_typeoperational
|
-1.1051821
|
0.1595528
|
-6.9267494
|
0.0000000
|
|
specialty_typeresident
|
-0.5825723
|
0.2345448
|
-2.4838419
|
0.0131853
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0632343
|
0.0589124
|
1.352773
|
14.63123
|
0
|
5
|
-1498.288
|
3008.576
|
3037.201
|
1586.606
|
867
|
favoritism_rank

Data:
[ ds ds$specialty_type != “unknown” Formula:
~ favoritism_rank 1 + specialty_type
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.4692308
|
0.0662709
|
52.3492083
|
0.0000000
|
|
specialty_typesurgical
|
-0.1358974
|
0.1296285
|
-1.0483608
|
0.2948074
|
|
specialty_typefamily
|
-0.3889388
|
0.1299775
|
-2.9923554
|
0.0028584
|
|
specialty_typeoperational
|
-0.7633484
|
0.1719893
|
-4.4383491
|
0.0000104
|
|
specialty_typeresident
|
0.1021978
|
0.2560544
|
0.3991254
|
0.6899135
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0328075
|
0.0276901
|
1.308746
|
6.410944
|
4.48e-05
|
5
|
-1282.066
|
2576.132
|
2603.939
|
1294.889
|
756
|
assignment_current_choice

Data:
[ ds ds$specialty_type != “unknown” Formula:
~ assignment_current_choice 1 + specialty_type
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
1.4912281
|
0.0561207
|
26.5718057
|
0.0000000
|
|
specialty_typesurgical
|
0.3361101
|
0.1104096
|
3.0442111
|
0.0024118
|
|
specialty_typefamily
|
0.0957285
|
0.1107059
|
0.8647099
|
0.3874656
|
|
specialty_typeoperational
|
0.4933873
|
0.1499427
|
3.2905058
|
0.0010453
|
|
specialty_typeresident
|
-0.2091768
|
0.1880736
|
-1.1122073
|
0.2663939
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0255001
|
0.0204704
|
1.12101
|
5.069921
|
0.0004894
|
5
|
-1193.363
|
2398.727
|
2426.683
|
973.914
|
775
|
By Bonus Pay
satisfaction_rank

Data:
ds Formula:
~ satisfaction_rank 1 + bonus_pay_cut4
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
2.8411215
|
0.1285699
|
22.097867
|
0e+00
|
|
bonus_pay_cut4$20-24k
|
0.8846169
|
0.1423437
|
6.214653
|
0e+00
|
|
bonus_pay_cut4$24-32k
|
0.9289934
|
0.1633872
|
5.685841
|
0e+00
|
|
bonus_pay_cut432k+
|
0.9110153
|
0.1778978
|
5.121004
|
4e-07
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0472242
|
0.0439312
|
1.329938
|
14.34077
|
0
|
4
|
-1483.945
|
2977.89
|
3001.744
|
1535.262
|
868
|
transparency_rank

Data:
ds Formula:
~ transparency_rank 1 + bonus_pay_cut4
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
2.6363636
|
0.1296906
|
20.328104
|
0e+00
|
|
bonus_pay_cut4$20-24k
|
0.9138456
|
0.1438411
|
6.353158
|
0e+00
|
|
bonus_pay_cut4$24-32k
|
1.1324225
|
0.1658741
|
6.827000
|
0e+00
|
|
bonus_pay_cut432k+
|
0.9153605
|
0.1810230
|
5.056599
|
5e-07
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0559187
|
0.0526745
|
1.360206
|
17.23618
|
0
|
4
|
-1512.202
|
3034.403
|
3058.286
|
1615.191
|
873
|
favoritism_rank

Data:
ds Formula:
~ favoritism_rank 1 + bonus_pay_cut4
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.0119048
|
0.1448614
|
20.791630
|
0.0000000
|
|
bonus_pay_cut4$20-24k
|
0.3295587
|
0.1590099
|
2.072567
|
0.0385488
|
|
bonus_pay_cut4$24-32k
|
0.4111722
|
0.1796785
|
2.288378
|
0.0223888
|
|
bonus_pay_cut432k+
|
0.2489648
|
0.1905594
|
1.306495
|
0.1917791
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0075041
|
0.0035915
|
1.327677
|
1.917942
|
0.1251881
|
4
|
-1300.307
|
2610.614
|
2633.814
|
1341.434
|
761
|
assignment_current_choice

Data:
ds Formula:
~ assignment_current_choice 1 + bonus_pay_cut4
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
1.7978723
|
0.1164006
|
15.445565
|
0.0000000
|
|
bonus_pay_cut4$20-24k
|
-0.2789150
|
0.1287134
|
-2.166946
|
0.0305410
|
|
bonus_pay_cut4$24-32k
|
-0.1312057
|
0.1468307
|
-0.893585
|
0.3718196
|
|
bonus_pay_cut432k+
|
-0.1740191
|
0.1588510
|
-1.095487
|
0.2736415
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0072089
|
0.0033904
|
1.128545
|
1.887914
|
0.1301122
|
4
|
-1205.251
|
2420.503
|
2443.825
|
993.4192
|
780
|
By Assignment Current Choice
satisfaction_rank

Data:
ds Formula:
~ satisfaction_rank 1 + assignment_current_choice
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
4.7192430
|
0.0674241
|
69.99342
|
0
|
|
assignment_current_choice
|
-0.5721764
|
0.0342102
|
-16.72533
|
0
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.2693047
|
0.268342
|
1.074932
|
279.7366
|
0
|
2
|
-1133.799
|
2273.598
|
2287.502
|
877.0091
|
759
|
transparency_rank

Data:
ds Formula:
~ transparency_rank 1 + assignment_current_choice
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
4.3945478
|
0.0758513
|
57.93639
|
0
|
|
assignment_current_choice
|
-0.4738032
|
0.0387336
|
-12.23236
|
0
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.1643153
|
0.1632172
|
1.209629
|
149.6306
|
0
|
2
|
-1226.858
|
2459.717
|
2473.629
|
1113.498
|
761
|
favoritism_rank

Data:
ds Formula:
~ favoritism_rank 1 + assignment_current_choice
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.9860828
|
0.0822266
|
48.476775
|
0
|
|
assignment_current_choice
|
-0.3706206
|
0.0416331
|
-8.902061
|
0
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.1053467
|
0.1040173
|
1.232284
|
79.24669
|
0
|
2
|
-1097.769
|
2201.538
|
2215.082
|
1021.967
|
673
|
By Year
satisfaction_rank

By Survey Lag
satisfaction_rank

By Manning Proportion
manning_proportion


By Crtical War

By Billet Current

Data:
ds Formula:
~ satisfaction_rank 1 + billet_current
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.8565121
|
0.0617313
|
62.4725615
|
0.0000000
|
|
billet_currentGME
|
-0.0474212
|
0.1396572
|
-0.3395546
|
0.7342744
|
|
billet_currentNon-Operational/Non-Clinical
|
-0.2106788
|
0.1994360
|
-1.0563728
|
0.2910929
|
|
billet_currentOCONUS MTF
|
-0.4465121
|
0.1451670
|
-3.0758512
|
0.0021651
|
|
billet_currentCONUS Operational
|
-0.7404407
|
0.1386502
|
-5.3403496
|
0.0000001
|
|
billet_currentOCONUS Operational
|
-1.4065121
|
0.2167199
|
-6.4899990
|
0.0000000
|
|
billet_currentOther
|
0.1434879
|
0.4422880
|
0.3244218
|
0.7456972
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0733123
|
0.0668844
|
1.313876
|
11.40534
|
0
|
7
|
-1471.84
|
2959.681
|
2997.847
|
1493.224
|
865
|
By Geographic Preference

Data:
ds Formula:
~ satisfaction_rank 1 + geographic_preference
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.4523810
|
0.1206561
|
28.6133918
|
0.0000000
|
|
geographic_preferenceMiddle East or Africa
|
-0.8523810
|
0.6175897
|
-1.3801736
|
0.1678910
|
|
geographic_preferenceNational Capital Region
|
0.2765910
|
0.1780473
|
1.5534691
|
0.1206782
|
|
geographic_preferenceNortheast
|
-0.2349896
|
0.3070991
|
-0.7651915
|
0.4443670
|
|
geographic_preferencePacific (Hawaii, Guam, Japan)
|
0.2800134
|
0.2009802
|
1.3932387
|
0.1639068
|
|
geographic_preferencePacific Northwest
|
-0.0157612
|
0.2009802
|
-0.0784218
|
0.9375107
|
|
geographic_preferenceSoutheast (North Carolina, Florida)
|
0.1309524
|
0.1834806
|
0.7137123
|
0.4755983
|
|
geographic_preferenceSouthern California
|
0.2957393
|
0.1464710
|
2.0190986
|
0.0437861
|
|
geographic_preferenceTidewater Region (Portsmouth, Norfolk)
|
0.3637110
|
0.1887902
|
1.9265350
|
0.0543661
|
|
geographic_preferenceUnknown
|
-0.3523810
|
0.3259949
|
-1.0809401
|
0.2800261
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0187382
|
0.008493
|
1.354362
|
1.828979
|
0.0595147
|
10
|
-1496.789
|
3015.579
|
3068.058
|
1581.163
|
862
|
Analyses - 2 Predictors
By Rank and Specialty Type
satisfaction_rank

Data:
[ ds ds$specialty_type != “unknown” Formula:
~ satisfaction_rank 1 + officer_rate_f * specialty_type
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.7794118
|
0.1553781
|
24.3239628
|
0.0000000
|
|
officer_rate_f4
|
-0.0092968
|
0.1832411
|
-0.0507355
|
0.9595483
|
|
officer_rate_f5
|
0.2560492
|
0.1891705
|
1.3535366
|
0.1762449
|
|
officer_rate_f6
|
0.5539216
|
0.2373440
|
2.3338342
|
0.0198372
|
|
specialty_typesurgical
|
-0.1127451
|
0.3654966
|
-0.3084710
|
0.7577997
|
|
specialty_typefamily
|
-0.9315857
|
0.2446039
|
-3.8085478
|
0.0001499
|
|
specialty_typeoperational
|
-1.3667134
|
0.2240553
|
-6.0998925
|
0.0000000
|
|
specialty_typeresident
|
-0.2294118
|
0.3259239
|
-0.7038814
|
0.4816999
|
|
officer_rate_f4:specialty_typesurgical
|
-0.2384509
|
0.4064573
|
-0.5866567
|
0.5575904
|
|
officer_rate_f5:specialty_typesurgical
|
0.0516431
|
0.4328109
|
0.1193202
|
0.9050499
|
|
officer_rate_f6:specialty_typesurgical
|
-0.1253501
|
0.4939158
|
-0.2537885
|
0.7997205
|
|
officer_rate_f4:specialty_typefamily
|
0.6244337
|
0.3157016
|
1.9779237
|
0.0482607
|
|
officer_rate_f5:specialty_typefamily
|
0.3285571
|
0.3403586
|
0.9653265
|
0.3346565
|
|
officer_rate_f6:specialty_typefamily
|
0.4871412
|
0.3909269
|
1.2461183
|
0.2130651
|
|
officer_rate_f4:specialty_typeoperational
|
0.6680270
|
0.4205932
|
1.5882972
|
0.1125919
|
|
officer_rate_f5:specialty_typeoperational
|
2.3312524
|
1.3051914
|
1.7861383
|
0.0744341
|
|
officer_rate_f6:specialty_typeoperational
|
0.6583800
|
0.5362841
|
1.2276701
|
0.2199115
|
|
officer_rate_f4:specialty_typeresident
|
-0.0791647
|
0.4918785
|
-0.1609436
|
0.8721761
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.1249664
|
0.1074244
|
1.281281
|
7.123859
|
0
|
18
|
-1434.353
|
2906.706
|
2997.22
|
1392.145
|
848
|
Data:
[ ds ds$specialty_type != “unknown” Formula:
~ satisfaction_rank 1 + officer_rate_f + specialty_type
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.6060419
|
0.1138533
|
31.6726901
|
0.0000000
|
|
officer_rate_f4
|
0.1894040
|
0.1227398
|
1.5431344
|
0.1231669
|
|
officer_rate_f5
|
0.4624532
|
0.1364136
|
3.3900819
|
0.0007306
|
|
officer_rate_f6
|
0.7806986
|
0.1587342
|
4.9182747
|
0.0000010
|
|
specialty_typesurgical
|
-0.2466207
|
0.1222314
|
-2.0176535
|
0.0439382
|
|
specialty_typefamily
|
-0.5476117
|
0.1188297
|
-4.6083747
|
0.0000047
|
|
specialty_typeoperational
|
-1.0520849
|
0.1656575
|
-6.3509630
|
0.0000000
|
|
specialty_typeresident
|
-0.1655041
|
0.2383040
|
-0.6945081
|
0.4875516
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.113058
|
0.1058219
|
1.282431
|
15.62411
|
0
|
8
|
-1440.206
|
2898.412
|
2941.287
|
1411.091
|
858
|
TODO: examine if the interaction term significantly improves fit.### transparency_rank

Data:
ds Formula:
~ transparency_rank 1 + specialty_type
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.7214612
|
0.0648138
|
57.4177578
|
0.0000000
|
|
specialty_typesurgical
|
-0.0888081
|
0.1292964
|
-0.6868568
|
0.4923558
|
|
specialty_typefamily
|
-0.4850976
|
0.1239036
|
-3.9151205
|
0.0000974
|
|
specialty_typeoperational
|
-1.1051821
|
0.1599866
|
-6.9079656
|
0.0000000
|
|
specialty_typeresident
|
-0.5825723
|
0.2351826
|
-2.4771063
|
0.0134340
|
|
specialty_typeunknown
|
-0.7214612
|
0.6100763
|
-1.1825754
|
0.2373002
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0632744
|
0.0578971
|
1.356452
|
11.76695
|
0
|
6
|
-1508.772
|
3031.543
|
3064.979
|
1602.606
|
871
|
favoritism_rank

Data:
ds Formula:
~ favoritism_rank 1 + specialty_type
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.4692308
|
0.0664647
|
52.1966278
|
0.0000000
|
|
specialty_typesurgical
|
-0.1358974
|
0.1300074
|
-1.0453052
|
0.2962147
|
|
specialty_typefamily
|
-0.3889388
|
0.1303574
|
-2.9836337
|
0.0029398
|
|
specialty_typeoperational
|
-0.7633484
|
0.1724920
|
-4.4254128
|
0.0000110
|
|
specialty_typeresident
|
0.1021978
|
0.2568029
|
0.3979621
|
0.6907700
|
|
specialty_typeunknown
|
-0.2192308
|
0.6596428
|
-0.3323477
|
0.7397185
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0325083
|
0.0261348
|
1.312572
|
5.100571
|
0.0001313
|
6
|
-1290.547
|
2595.095
|
2627.574
|
1307.639
|
759
|
assignment_current_choice

Data:
ds Formula:
~ assignment_current_choice 1 + specialty_type
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
1.4912281
|
0.0560339
|
26.6129401
|
0.0000000
|
|
specialty_typesurgical
|
0.3361101
|
0.1102389
|
3.0489237
|
0.0023744
|
|
specialty_typefamily
|
0.0957285
|
0.1105347
|
0.8660485
|
0.3867305
|
|
specialty_typeoperational
|
0.4933873
|
0.1497109
|
3.2955997
|
0.0010266
|
|
specialty_typeresident
|
-0.2091768
|
0.1877829
|
-1.1139290
|
0.2656536
|
|
specialty_typeunknown
|
-0.2412281
|
0.5624368
|
-0.4288981
|
0.6681161
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0259522
|
0.0196923
|
1.119277
|
4.145762
|
0.0010079
|
6
|
-1197.78
|
2409.56
|
2442.211
|
974.664
|
778
|
By Rank and Assignment Current Choice
satisfaction_rank

Data:
ds Formula:
~ satisfaction_rank 1 + officer_rate_f + assignment_current_choice
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
4.2860493
|
0.0996705
|
43.002177
|
0.0000000
|
|
officer_rate_f4
|
0.3900905
|
0.0997785
|
3.909563
|
0.0001008
|
|
officer_rate_f5
|
0.5345137
|
0.1088637
|
4.909937
|
0.0000011
|
|
officer_rate_f6
|
0.7636977
|
0.1325867
|
5.759988
|
0.0000000
|
|
assignment_current_choice
|
-0.5388720
|
0.0338151
|
-15.935829
|
0.0000000
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.3052065
|
0.3015205
|
1.048202
|
82.80361
|
0
|
5
|
-1110.197
|
2232.395
|
2260.187
|
828.4411
|
754
|
Data:
ds Formula:
~ satisfaction_rank 1 + officer_rate_f * assignment_current_choice
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
4.2547092
|
0.1334327
|
31.8865648
|
0.0000000
|
|
officer_rate_f4
|
0.4158921
|
0.1724797
|
2.4112525
|
0.0161369
|
|
officer_rate_f5
|
0.6520120
|
0.1918718
|
3.3981645
|
0.0007142
|
|
officer_rate_f6
|
0.7511815
|
0.2254399
|
3.3320701
|
0.0009042
|
|
assignment_current_choice
|
-0.5218961
|
0.0587130
|
-8.8889425
|
0.0000000
|
|
officer_rate_f4:assignment_current_choice
|
-0.0136552
|
0.0796330
|
-0.1714763
|
0.8638954
|
|
officer_rate_f5:assignment_current_choice
|
-0.0789217
|
0.1018947
|
-0.7745421
|
0.4388541
|
|
officer_rate_f6:assignment_current_choice
|
0.0140756
|
0.1196004
|
0.1176887
|
0.9063458
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.3058807
|
0.2994109
|
1.049784
|
47.27809
|
0
|
8
|
-1109.829
|
2237.658
|
2279.346
|
827.6371
|
751
|
Analysis of Variance Table
Model 1: satisfaction_rank ~ 1 + officer_rate_f + assignment_current_choice Model 2: satisfaction_rank ~ 1 + officer_rate_f * assignment_current_choice Res.Df RSS Df Sum of Sq F Pr(>F) 1 754 828.44
2 751 827.64 3 0.80396 0.2432 0.8662 ### transparency_rank

Data:
ds Formula:
~ transparency_rank 1 + officer_rate_f * assignment_current_choice
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.8638632
|
0.1499297
|
25.7711726
|
0.0000000
|
|
officer_rate_f4
|
0.4825983
|
0.1937144
|
2.4912871
|
0.0129424
|
|
officer_rate_f5
|
0.6305539
|
0.2161270
|
2.9175158
|
0.0036333
|
|
officer_rate_f6
|
1.0465560
|
0.2579506
|
4.0571960
|
0.0000548
|
|
assignment_current_choice
|
-0.4305167
|
0.0660775
|
-6.5153323
|
0.0000000
|
|
officer_rate_f4:assignment_current_choice
|
0.0217793
|
0.0896179
|
0.2430244
|
0.8080527
|
|
officer_rate_f5:assignment_current_choice
|
0.0254252
|
0.1147065
|
0.2216542
|
0.8246432
|
|
officer_rate_f6:assignment_current_choice
|
-0.2130761
|
0.1435839
|
-1.4839828
|
0.1382319
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.2076297
|
0.2002637
|
1.18273
|
28.1876
|
0
|
8
|
-1203.506
|
2425.012
|
2466.724
|
1053.334
|
753
|
favoritism_rank

Data:
ds Formula:
~ favoritism_rank 1 + officer_rate_f * assignment_current_choice
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.8687050
|
0.1889326
|
20.4766424
|
0.0000000
|
|
officer_rate_f4
|
0.1174241
|
0.2324391
|
0.5051821
|
0.6135983
|
|
officer_rate_f5
|
0.0937283
|
0.2502167
|
0.3745885
|
0.7080859
|
|
officer_rate_f6
|
0.3797836
|
0.2860813
|
1.3275372
|
0.1847866
|
|
assignment_current_choice
|
-0.3171891
|
0.0798386
|
-3.9728796
|
0.0000788
|
|
officer_rate_f4:assignment_current_choice
|
-0.0355036
|
0.1036411
|
-0.3425626
|
0.7320358
|
|
officer_rate_f5:assignment_current_choice
|
-0.0549110
|
0.1273840
|
-0.4310667
|
0.6665595
|
|
officer_rate_f6:assignment_current_choice
|
-0.2321125
|
0.1465992
|
-1.5833140
|
0.1138253
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.108222
|
0.0988349
|
1.235585
|
11.52876
|
0
|
8
|
-1093.291
|
2204.582
|
2245.188
|
1015.236
|
665
|
By Rank and Bonus Pay
satisfaction_rank

Data:
ds Formula:
~ satisfaction_rank 1 + officer_rate_f + bonus_pay
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
2.9244122
|
0.1132714
|
25.817747
|
0.0000000
|
|
officer_rate_f4
|
0.2934115
|
0.1267040
|
2.315724
|
0.0208064
|
|
officer_rate_f5
|
0.6032909
|
0.1408814
|
4.282261
|
0.0000206
|
|
officer_rate_f6
|
0.8478220
|
0.1620620
|
5.231467
|
0.0000002
|
|
bonus_pay
|
0.0000158
|
0.0000051
|
3.072155
|
0.0021917
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0720318
|
0.0677406
|
1.311901
|
16.786
|
0
|
5
|
-1468.155
|
2948.309
|
2976.92
|
1488.738
|
865
|
Data:
ds Formula:
~ satisfaction_rank 1 + officer_rate_f * bonus_pay
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
2.6738295
|
0.1412220
|
18.933520
|
0.0000000
|
|
officer_rate_f4
|
0.9876528
|
0.2498733
|
3.952615
|
0.0000836
|
|
officer_rate_f5
|
0.8154021
|
0.3806246
|
2.142274
|
0.0324510
|
|
officer_rate_f6
|
1.1783927
|
0.4842708
|
2.433334
|
0.0151628
|
|
bonus_pay
|
0.0000345
|
0.0000081
|
4.232110
|
0.0000256
|
|
officer_rate_f4:bonus_pay
|
-0.0000374
|
0.0000115
|
-3.245845
|
0.0012162
|
|
officer_rate_f5:bonus_pay
|
-0.0000172
|
0.0000157
|
-1.096670
|
0.2730919
|
|
officer_rate_f6:bonus_pay
|
-0.0000222
|
0.0000213
|
-1.042449
|
0.2974956
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0832837
|
0.0758394
|
1.30619
|
11.18754
|
0
|
8
|
-1462.848
|
2943.696
|
2986.612
|
1470.687
|
862
|
Analysis of Variance Table
Model 1: satisfaction_rank ~ 1 + officer_rate_f + bonus_pay Model 2: satisfaction_rank ~ 1 + officer_rate_f * bonus_pay Res.Df RSS Df Sum of Sq F Pr(>F) 1 865 1488.7
2 862 1470.7 3 18.052 3.5268 0.01461 ### transparency_rank

Data:
ds Formula:
~ transparency_rank 1 + officer_rate_f * bonus_pay
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
2.4796068
|
0.1432849
|
17.3054341
|
0.0000000
|
|
officer_rate_f4
|
1.0075219
|
0.2531992
|
3.9791673
|
0.0000749
|
|
officer_rate_f5
|
0.8584585
|
0.3901640
|
2.2002504
|
0.0280522
|
|
officer_rate_f6
|
0.8102031
|
0.5006221
|
1.6183927
|
0.1059417
|
|
bonus_pay
|
0.0000318
|
0.0000083
|
3.8335875
|
0.0001354
|
|
officer_rate_f4:bonus_pay
|
-0.0000315
|
0.0000117
|
-2.6878622
|
0.0073290
|
|
officer_rate_f5:bonus_pay
|
-0.0000138
|
0.0000161
|
-0.8554228
|
0.3925535
|
|
officer_rate_f6:bonus_pay
|
-0.0000028
|
0.0000221
|
-0.1257225
|
0.8999807
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0879753
|
0.0806117
|
1.340582
|
11.94744
|
0
|
8
|
-1494.019
|
3006.038
|
3049.006
|
1558.138
|
867
|
favoritism_rank

Data:
ds Formula:
~ favoritism_rank 1 + officer_rate_f * bonus_pay
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
2.8463186
|
0.1678880
|
16.9536708
|
0.0000000
|
|
officer_rate_f4
|
0.6600801
|
0.2736657
|
2.4119942
|
0.0161031
|
|
officer_rate_f5
|
0.2419408
|
0.4029886
|
0.6003664
|
0.5484422
|
|
officer_rate_f6
|
0.6359086
|
0.5053006
|
1.2584759
|
0.2086087
|
|
bonus_pay
|
0.0000211
|
0.0000098
|
2.1572493
|
0.0313011
|
|
officer_rate_f4:bonus_pay
|
-0.0000288
|
0.0000130
|
-2.2189548
|
0.0267864
|
|
officer_rate_f5:bonus_pay
|
-0.0000098
|
0.0000169
|
-0.5808773
|
0.5614965
|
|
officer_rate_f6:bonus_pay
|
-0.0000239
|
0.0000225
|
-1.0656273
|
0.2869328
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.01366
|
0.0045151
|
1.327109
|
1.493731
|
0.1660622
|
8
|
-1294.56
|
2607.121
|
2648.856
|
1329.721
|
755
|
By Billet Current and Critical War
satisfaction_rank

Data:
ds Formula:
~ satisfaction_rank 1 + billet_current + critical_war
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.8482807
|
0.1221609
|
31.5017379
|
0.0000000
|
|
billet_currentGME
|
-0.0470058
|
0.1398387
|
-0.3361429
|
0.7368447
|
|
billet_currentNon-Operational/Non-Clinical
|
-0.2106988
|
0.1995509
|
-1.0558651
|
0.2913250
|
|
billet_currentOCONUS MTF
|
-0.4462987
|
0.1452762
|
-3.0720701
|
0.0021924
|
|
billet_currentCONUS Operational
|
-0.7404032
|
0.1387308
|
-5.3369783
|
0.0000001
|
|
billet_currentOCONUS Operational
|
-1.4067334
|
0.2168630
|
-6.4867362
|
0.0000000
|
|
billet_currentOther
|
0.1420591
|
0.4429202
|
0.3207329
|
0.7484904
|
|
critical_warLow Deployer
|
0.0096602
|
0.1236892
|
0.0781008
|
0.9377659
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0733188
|
0.065811
|
1.314632
|
9.765642
|
0
|
8
|
-1471.837
|
2961.675
|
3004.612
|
1493.214
|
864
|
By Bonus_pay and Manning_proportion
satisfaction_rank

Data:
ds Formula:
~ satisfaction_rank 1 + manning_proportion_cut3 + bonus_pay_cut3
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
2.4680836
|
0.1647969
|
14.976514
|
0.0000000
|
|
manning_proportion_cut3Balanced
|
0.3928698
|
0.1259855
|
3.118373
|
0.0018786
|
|
manning_proportion_cut3Over
|
0.4651373
|
0.1209922
|
3.844358
|
0.0001297
|
|
bonus_pay_cut3$20-24k
|
1.0172580
|
0.1493703
|
6.810311
|
0.0000000
|
|
bonus_pay_cut3$24k+
|
0.8796862
|
0.1546106
|
5.689687
|
0.0000000
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0642006
|
0.0598832
|
1.318796
|
14.87015
|
0
|
5
|
-1476.106
|
2964.213
|
2992.838
|
1507.907
|
867
|
No interaction between manning_proportion_cut3 & bonus_pay_cut3Analysis of Variance Table
Model 1: satisfaction_rank ~ 1 + manning_proportion_cut3 * bonus_pay_cut3 Model 2: satisfaction_rank ~ 1 + manning_proportion_cut3 + bonus_pay_cut3 Res.Df RSS Df Sum of Sq F Pr(>F) 1 863 1499.7
2 867 1507.9 -4 -8.1779 1.1765 0.3197
Data:
ds Formula:
~ satisfaction_rank 1 + billet_current + critical_war
|
term
|
estimate
|
std.error
|
statistic
|
p.value
|
|
(Intercept)
|
3.8482807
|
0.1221609
|
31.5017379
|
0.0000000
|
|
billet_currentGME
|
-0.0470058
|
0.1398387
|
-0.3361429
|
0.7368447
|
|
billet_currentNon-Operational/Non-Clinical
|
-0.2106988
|
0.1995509
|
-1.0558651
|
0.2913250
|
|
billet_currentOCONUS MTF
|
-0.4462987
|
0.1452762
|
-3.0720701
|
0.0021924
|
|
billet_currentCONUS Operational
|
-0.7404032
|
0.1387308
|
-5.3369783
|
0.0000001
|
|
billet_currentOCONUS Operational
|
-1.4067334
|
0.2168630
|
-6.4867362
|
0.0000000
|
|
billet_currentOther
|
0.1420591
|
0.4429202
|
0.3207329
|
0.7484904
|
|
critical_warLow Deployer
|
0.0096602
|
0.1236892
|
0.0781008
|
0.9377659
|
|
r.squared
|
adj.r.squared
|
sigma
|
statistic
|
p.value
|
df
|
logLik
|
AIC
|
BIC
|
deviance
|
df.residual
|
|
0.0733188
|
0.065811
|
1.314632
|
9.765642
|
0
|
8
|
-1471.837
|
2961.675
|
3004.612
|
1493.214
|
864
|